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REQUIREMENT_ID_335 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst

Company
Company Peroptyx
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary $4.5 per hour
Location
Location Remote
Posted Date
Posted Date Today
Data extraction Data cleaning Excel Google Sheets Basic Python SQL basics GIS familiarity Attention to detail Independent work ethic Ability to follow varied instructions
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Aptitude Practice Questions Open Resource β†—
Helps sharpen quantitative and logical reasoning skills essential for the online open‑book exam.
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Company Interview Preparation Guide Open Resource β†—
Provides general interview strategies and common questions asked by tech firms, useful for Peroptyx assessments.
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Peroptyx Data Analyst Interview Guide Open Resource β†—
Specific preparation material covering the role’s core topics and sample tasks for Peroptyx.
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Algorithm Problem Set Open Resource β†—
Offers practice problems to improve problem‑solving speed, beneficial for data manipulation tasks.

Indian citizens who have resided in India for at least 5 consecutive years. Fresh graduates (2024‑2026 batch) from any discipline (Engineering, Science, Commerce, Arts) with a minimum of 60% aggregate. No backlogs at the time of joining. Must have a reliable internet connection and a computer for remote work.

1
Round 1: Online open‑book exam to assess understanding of data concepts
2
Round 2: Task‑based assessment involving a sample data validation exercise
3
Round 3: HR interview focusing on motivation, availability, and cultural fit
Peroptyx is an emerging technology-driven firm that focuses on delivering data‑centric solutions to businesses across India. Founded by a team of data enthusiasts, the company leverages advanced analytics, geospatial mapping, and AI to help clients make informed decisions. With a lean but growing workforce, Peroptyx promotes a culture of continuous learning, encouraging fresh talent to experiment with real‑world data problems. The organization has been recognized for its innovative use of public datasets, especially those related to postal services and location intelligence, making it a unique playground for aspiring analysts. As a Data Analyst at Peroptyx, you will be part of a remote, part‑time team that supports various data collection and validation projects. The role is designed for fresh graduates who are comfortable working independently and can adapt to varying task volumes each week. You will be responsible for extracting, cleaning, and verifying data from sources such as the India Post website, map applications, and social media platforms. Your insights will directly feed into the company’s analytical dashboards and client deliverables, giving you exposure to end‑to‑end data pipelines. Key Responsibilities: 1. Extract postal code information and related address data from the India Post portal. 2. Validate and cross‑verify location data using street‑view and map services. 3. Perform data cleaning, normalization, and enrichment tasks. 4. Conduct basic exploratory analysis to identify data quality issues. 5. Document data sources, methodologies, and validation results. 6. Collaborate with senior analysts to translate raw data into actionable insights. 7. Maintain an independent workflow while adhering to project timelines (10‑20 hrs/week). 8. Participate in online open‑book assessments to demonstrate understanding of concepts. 9. Provide feedback on data collection processes for continuous improvement. 10. Stay updated with emerging tools and best practices in data handling. Tech Stack: Excel, Google Sheets, Python (pandas), SQL basics, GIS tools, and familiarity with APIs of map services. While advanced programming is not mandatory, a willingness to learn is essential. Growth Path: Starting as a junior analyst, you can progress to Senior Analyst, then to Data Lead or Product Analyst roles within 2‑3 years, based on performance and skill acquisition. The remote nature of the job offers flexibility, while the exposure to real‑world datasets accelerates professional development. Why Join Peroptyx? The company offers a supportive environment for freshers, a clear learning curve, and the chance to work on unique datasets that are rarely explored by other firms. The flexible hours allow you to balance studies or other commitments while gaining valuable industry experience.

Peroptyx β€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Peroptyx Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Peroptyx and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Data extraction, Data cleaning, Excel, Google Sheets, Basic Python, SQL basics, GIS familiarity, Attention to detail, Independent work ethic, Ability to follow varied instructions) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Peroptyx Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Peroptyx as a Data Analyst?
Preparation Tip: Highlight Peroptyx's market reputation, recent tech innovations, and how your skills in Data extraction directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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